Session
Implement a Serverless Data Analytics strategy with Microsoft Azure
After a decade of innovation around big data, distributed filesystems, data movement tools and scalable data warehouses, I want to share my thoughts on how Microsoft Azure tries to wrap all this stuff with a few tools, like Synapse, DataLake Storage and more. As a result, we will implement a Data Analytics strategy in a serverless mode, on a consumption-based model.
Serverless, Big Data, Data Movement, Parquet, SQL
Roberto Freato
CTO at Retex | Published Author | International Conference Speaker | Azure MVP
Milan, Italy
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